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Data Science Lead- Optimization
Data Science Lead- OptimizationCitizens • Columbus, OH, United States
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Data Science Lead- Optimization

Data Science Lead- Optimization

Citizens • Columbus, OH, United States
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Citizens is one of the nations oldest and largest financial institutions, offering a broad range of retail and commercial banking products and services to individuals, small businesses, middle-market companies, large corporations, and institutions.

Apply with confidence knowing your application gets through the door. Meytier works directly with Citizens' hiring managers for this opening.

Job Description

Citizens Enterprise Data & Analytics (ED&A) organization is seeking a Lead Data Scientist with strong analytical and algorithmic skills to optimize interest rates, portfolio outcomes, and acquisition strategies.

Key Responsibilities :

  • Design and build advanced decision support systems that facilitate robust scenario planning for various business decisions, including constrained optimization solutions for deposit interest rates, portfolio outcomes, and acquisition strategies.
  • Serve as the lead modeler for machine learning models and analytic products, from design phase to development, deployment, and integration into larger business processes.
  • Develop relationships with other data scientists as well as partners in Finance, Pricing & Profitability, Product, Data, and Technology Services, to collaboratively deliver transformational optimization capabilities.
  • Invest in developing deep knowledge of business decision frameworks, operational processes, and data in order to successfully design & develop practicable solutions.

Desired Profile :

  • Masters degree in operations research, computer science, mathematics, statistics, economics, or related quantitative field and 8+ years of experience delivering quantitative decision tools for business applications (or PhD and 5+ years of experience).
  • Proven experience turning ambiguous business problems and raw data into rigorous analytic solutions by applying critical thinking and advanced technical & statistical programming techniques.
  • Proficient in Python with 5+ years of applied experience.
  • Proficient with one or more optimization modeling packages and solvers (e.g., CPLEX, SCIP, Pyomo, SciPy).
  • A deep understanding of the theory and application of various statistical and machine learning methods and algorithms, including optimization under uncertainty, forecasting, time series analysis, and Bayesian methods.
  • Excellent communication skills with both technical and non-technical audiences.
  • Strong leadership and team management skills, including the ability to effectively lead both direct reports and complex, multi-team projects.
  • Experience with cloud computing platforms (preferably AWS) and ML-related services such as Amazon Sagemaker.
  • A strong sense of intellectual curiosity and ability to thrive and deliver value in an entrepreneurial working environment.
  • Commitment to intellectual rigor and observance of compliance and data privacy controls.
  • A disciplined approach to making decisions and setting expectations.
  • Experience working with large datasets (greater than 1 million records) and applying techniques to efficiently manage big data.
  • Experience working with financial datasets (preferred).

    • Compensation Range : Upto $180k

    Is this job not quite the right fit? No worries, Meytier has hundreds of active, open jobs. Browse more opportunities here. If youd like to connect with a Meytier champion for help in your job search, create an account here.

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    Data Science Lead • Columbus, OH, United States

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